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Poster
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Wed 12:45 |
Robust hypothesis testing and distribution estimation in Hellinger distance Ananda Theertha Suresh |
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Poster
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Tue 18:30 |
Taming heavy-tailed features by shrinkage Ziwei Zhu · Wenjing Zhou |
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Poster
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Tue 18:30 |
γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator Masahiro Fujisawa · Takeshi Teshima · Issei Sato · Masashi Sugiyama |
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Poster
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Wed 12:45 |
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers Lunjia Hu · Omer Reingold |
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Poster
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Tue 18:30 |
Regularized Policies are Reward Robust Hisham Husain · Kamil Ciosek · Ryota Tomioka |
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Poster
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Wed 6:00 |
Robust and Private Learning of Halfspaces Badih Ghazi · Ravi Kumar · Pasin Manurangsi · Thao Nguyen |
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Poster
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Thu 7:30 |
When OT meets MoM: Robust estimation of Wasserstein Distance Guillaume Staerman · Pierre Laforgue · Pavlo Mozharovskyi · Florence d'Alché-Buc |
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Poster
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Thu 7:30 |
Robust Learning under Strong Noise via SQs Ioannis Anagnostides · Themis Gouleakis · Ali Marashian |
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Poster
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Tue 14:00 |
Density of States Estimation for Out of Distribution Detection Warren Morningstar · Cusuh Ham · Andrew Gallagher · Balaji Lakshminarayanan · Alex Alemi · Joshua Dillon |
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Poster
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Tue 18:30 |
Robustness and scalability under heavy tails, without strong convexity Matthew Holland |
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Poster
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Wed 6:00 |
An Analysis of LIME for Text Data Dina Mardaoui · Damien Garreau |
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Poster
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Wed 12:45 |
Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression Ian Covert · Su-In Lee |